13 VoltDB Testimonials

“Traditional campaign management platforms are architected to sit on top of the data inside a data warehouse, so they automatically inherit the latency from the enterprise data warehouse."

“We wanted to move toward a higher- performance, in-memory database that could combine the capabilities of an operational database, real-time analytics, and stream processing in one easy-to-use platform. We needed an in-memory database that could handle fast data, and we needed a database technology that would be complimentary to our innovative software solutions and suitable for virtualized deployments. We also needed a database that was elastically scalable and could grow and contract as needed.”

“In a given soccer match, there are thousands of micro-moments that we capture in real-time. Our game is based on holding a single player for a few minutes at a time and rotating players throughout the game, so data grows almost exponentially. With every single pass impacting a real-time leaderboard, this game is simple to play but incredibly complex to deliver from a data perspective. We investigated a number of data platforms, but only VoltDB gave us the power to process extremely high-volume data streams in real-time with complete accuracy.”

"VoltDB’s combination of high-throughput, transactional consistency and stateful, durable data make it easy for the bank to write high-velocity request/response applications that automate trade recommendations."

“By ingesting, analyzing and acting on incoming data streams in real time, VoltDB enables WhiteOps to detect and prevent ad fraud operations like Methbot, one of the most sophisticated bot fraud operations uncovered to date."

“By integrating VoltDB into Veris C3, we have been able to improve customer experience and take personalization to the next level.”

“Whenever we evaluated technology solutions, we typically had to select two or three complementary products to deliver the features we wanted. But VoltDB provided us with real-time segmentation and personalization capabilities that met all of our needs.”

"We were committed to deploying the highest-throughput database environment possible, so we wanted to conduct extensive testing in a high concurrency environment. Our engineers worked closely with VoltDB engineers to ensure that VoltDB could perform consistently even when there was an exceptionally large number of database connections. We needed to be sure that our ads would be properly displayed and that we could eliminate the opportunity costs of placing the wrong ads.”

“The high-performance VoltDB database gives our platform the ability to perform real-time analysis on hundreds of millions of events as they occur. In a quarter of a millisecond, we’re able to turn data into actionable intelligence that fosters player loyalty, extends a game’s value and increases overall game revenues.”

“For our real-time streaming aggregation requirements, we need to maintain the ‘exactly-once’ semantic as well as be able to guarantee no data loss. This can be achieved either by having old-fashioned Distributed Transaction Coordinators or by making the system idempotent and having some level of atomic WRITE support.”

“We’ve been able to optimize performance while ensuring high availability and delivering measurable results. Our real-time architecture provides us with a competitive advantage in the marketplace, and using VoltDB as the ingestion engine delivers the real-time decisioning and analytics we need to help mobile operators succeed. Support has been excellent from VoltDB, and VoltDB has been easy to configure and manage.”

"We conducted a global search and selected VoltDB because we believe it’s the world’s fastest and smartest in-memory database.”

“With VoltDB, our hardware and processing costs are much lower than they were with our Spark streaming solution. The support VoltDB provides helped us accelerate our deployment and addressed the big data challenges of structuring extremely high volumes of information to support real-time buying and selling. We’re able to get instantaneous feedback through our chats with support staff, and we’ve been able to quickly complete our migration and realize significant results, even as we continue to scale the volume of data we process daily.”